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    • Magister Commercii - MCom (IM) (Information Management)
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    • Magister Commercii - MCom (IM) (Information Management)
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    The e ect of mobile BI on organisational managerial decision-making

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    Thesis (12.76Mb)
    Date
    2014
    Author
    Buchana, Yasser
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    Abstract
    Managerial decision-making has always involved the use of numerous distinct information resources. Modern managerial decision-making processes require a wealth of information that is enhanced and transformed into knowledge in order to take effective action. Mobility in business is increasingly exercising influence on core business processes of organisations. The shift to wireless technologies coupled with the rapid growth of mobile devices in business has led to a new era in business computing. Mobile Business Intelligence (Mobile BI) is a system that has been conceived to assist, accelerate and to enhance the managerial decision-making processes. This thesis focuses on the e ect of Mobile BI on managerial decision-making. This thesis was able to answer the research question and to meet the research objectives through an extensive study of literature on the two most important spheres of influence i.e Business Intelligence and Managerial decision-making. Moreover, the objectives were met through the implementation of practical empirical research. The latter was carried out through a survey research design using questionnaire method of data collection. This research produced an number of ndings. The results indicated that Mobile BI played an important influencing role in the way managers make decisions. This study found that Mobile BI improved the quality of decisions made by managers used it for decision support subsequently improving performance of the organisation. Overall, four factors were found to be the predictors of Mobile BI for managerial decision making in organisations: Perceived Ease of Use of Mobile BI, Attitudes towards Use of Mobile BI, Perceived Value of Mobile BI with Behavioural Intention to Use of Mobile BI emerging as the most important predictors of Managerial Organisational decision-making.
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    http://hdl.handle.net/11394/3340
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